Sidi Lu, Lantao Yu, Weinan Zhang, Yong Yu. ArXiv 2018. In submission to NIPS 2018..
Understanding the Effectiveness of Lipschitz Constraint in Training GANs via Gradient Analysis
Zhiming Zhou, Yuxuan Song, Lantao Yu, Yong Yu. In submission to NIPS 2018.
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu, Weinan Zhang, Jun Wang, and Yong Yu. The 31st AAAI conference on Artificial Intelligence. AAAI 2017.
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang and Dell Zhang. The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2017. Best Paper Award Honorable Mention
A Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors’ Demonstration
Lantao Yu*, Xuejian Wang*(equal contribution), Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang. The 23rd SIGKDD Conference on Knowledge Discovery and Data Mining. KDD 2017.
A Study of AI Population Dynamics with Million-agent Reinforcement Learning
Lantao Yu*, Yaodong Yang*, Yiwei Bai*(equal contribution), Jun Wang, Weinan Zhang, Ying Wen, Yong Yu. The 17th International Conference on Autonomous Agents and Multi-Agent Systems. AAMAS 2018.
Exploiting Real-World Data and Human Knowledge for Predicting Wildlife Poaching
Swaminathan Gurumurthy, Lantao Yu, Chenyan Zhang, Yongchao Jin, Weiping Li, Xiaodong Zhang, Fei Fang. ACM SIGCAS Conference on Computing and Sustainable Societies. COMPASS 2018.
Deep Reinforcement Learning for Green Security Game with Online Information
Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa and Fei Fang. AAAI-18 Artificial Intelligence for Imperfect-Information Games Workshop.